OpenEvidence, Engineering
Member of Technical Staff, Health Systems at OpenEvidence
- Location
- San Francisco, United States
- Compensation
- Not Disclosed
Join OpenEvidence, a $15B medical AI powerhouse used by over 65% of US clinicians. As a Member of Technical Staff for Health Systems, you'll be the technical and product lead defining how AI integrates into clinical workflows across major hospitals.
With a small, elite team of 30 engineers from MIT, Harvard, and Stanford, you'll enjoy end-to-end ownership without product managers to deliver concrete outcomes that impact hundreds of millions of lives.
Role overview
As the Technical Lead for Health Systems, you will own the integration of OpenEvidence into hospital workflows. You will design, build, and launch enterprise-grade AI products that clinicians use daily. This high-impact role combines software engineering with product strategy, requiring end-to-end ownership to define the future of medical AI in health systems worldwide.
About OpenEvidence
OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >50% of US clinicians via product-led word of mouth adoption. We are a $15B valuation company backed by Sequoia Capital, Google Ventures, Kleiner Perkins, Thrive Capital, a16z, Coatue and others with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
What you will do
- Lead the architectural design and launch of OpenEvidence within health system clinical workflows, turning partner needs into scalable enterprise tools.
- Collaborate across engineering, sales, and legal to uphold rigorous standards for security, privacy, and reliability expected by global health partners.
- Prototype new clinical workflows and present technical roadmaps to health system IT leaders and clinical executives to drive platform adoption.
Who this is a fit for
- Brings 3-5+ years of professional engineering experience with a proven ability to solve complex system problems and maintain high product judgment.
- Possesses exceptional communication skills to navigate sophisticated enterprise environments and explain technical concepts to non-technical clinical leaders.
- Has experience with healthcare integrations, such as EHR systems, agentic workflows, or enterprise SaaS implementations, specifically within high-risk production environments.
Why this role is remarkable
- Join a $15B company with a tiny, elite team of 30 engineers, offering the agility of a startup with the impact of a global leader.
- Experience true autonomy in a culture with no product managers, where every engineer is responsible for major product outcomes and end-to-end delivery.
- Work on a platform already adopted by 65% of US clinicians, defining the bleeding edge of how AI reaches hospitals and impacts millions of patients.
How Jack & Jill work together

What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI agent for hiring, working for the company. She recruits from Jack’s network.
If your profile’s a match and OpenEvidence wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.